| Literature DB >> 34348683 |
Hlengiwe P Madlala1, Nelia P Steyn2, Emma Kalk3, Mary-Anne Davies3,4, Dorothy Nyemba5,3, Thokozile R Malaba5, Ushma Mehta3, Gregory Petro6, Andrew Boulle3,4, Landon Myer5.
Abstract
BACKGROUND: Although global nutrition/dietary transition resulting from industrialisation and urbanisation has been identified as a major contributor to widespread trends of obesity, there is limited data in pregnant women, including those living with HIV in South Africa. We examined food-based dietary intake in pregnant women with and without HIV at first antenatal care (ANC) visit, and associations with maternal overweight/obesity and gestational weight gain (GWG).Entities:
Keywords: Body mass index; Food intake; Gestational weight gain; HIV; Pregnancy
Mesh:
Year: 2021 PMID: 34348683 PMCID: PMC8335890 DOI: 10.1186/s12889-021-11566-2
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 4.135
Fig. 1Flow diagram showing the selection of women with and without HIV included in the BMI (A) and GWG (B) regression analysis
Maternal baseline characteristics of women included in the analysis, overall and stratified by HIV status, BMI and GWG category
| HIV status | BMI | GWG | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Characteristic | Overall | Without HIV | With HIV | Normal | Overweight | Obese | Inadequate | Adequate | Excessive | |||
| Age (years) | 0.077 | |||||||||||
| < 24 | 240 (24) | 171 (34) | 69 (14) | 100 (34) | 58 (24) | 79 (19) | 48 (18) | 30 (25) | 100 (28) | |||
| 25–29 | 292 (30) | 157 (31) | 135 (28) | 93 (32) | 71 (29) | 120 (28) | 93 (35) | 35 (29) | 104 (29) | |||
| 30–34 | 254 (26) | 109 (21) | 145 (30) | 71 (24) | 54 (22) | 123 (29) | 75 (28) | 34 (28) | 81 (22) | |||
| ≥ 35 | 203 (21) | 73 (14) | 130 (27) | 30 (10) | 61 (25) | 105 (25) | 48 (18) | 22 (18) | 76 (21) | |||
| Median (IQR) | 29 (25–34) | 27 (23–32) | 31 (26–35) | 27 (23–32) | 29 (25–35) | 30 (26–34) | 29 (26–33) | 29 (25–33) | 29 (24–33) | |||
| Education | 0.870 | 0.661 | ||||||||||
| Primary | 37 (4) | 15 (3) | 22 (5) | 9 (3) | 10 (4) | 17 (4) | 9 (3) | 4 (3) | 17 (5) | |||
| High school | 929 (94) | 477 (94) | 452 (94) | 277 (94) | 231 (95) | 399 (93) | 252 (95) | 113 (93) | 334 (93) | |||
| Tertiary | 23 (2) | 18 (4) | 5 (1) | 8 (3) | 3 (1) | 11 (3) | 3 (1) | 4 (3) | 10 (3) | |||
| Socio-economic status | 0.071 | 0.602 | 0.646 | |||||||||
| Lower | 325 (33) | 152 (30) | 173 (36) | 105 (36) | 72 (30) | 136 (32) | 87 (33) | 45 (37) | 119 (33) | |||
| Middle | 274 (28) | 142 (28) | 132 (28) | 75 (26) | 71 (29) | 123 (29) | 81 (31) | 35 (29) | 96 (27) | |||
| Higher | 388 (39) | 215 (42) | 173 (36) | 113 (38) | 100 (41) | 168 (39) | 96 (36) | 41 (34) | 144 (40) | |||
| Missing | 2 (0.2) | 1 (0.2) | 1 (0.2) | 1 (0.3) | 1 (0.4) | 0 | 0 | 0 | 2 (0.6) | |||
| Relationship status | 0.874 | 0.271 | ||||||||||
| No relationship | 46 (5) | 23 (5) | 23 (5) | 13 (4) | 11 (5) | 22 (5) | 9 (3) | 1 (1) | 17 (5) | |||
| Not Cohabiting/married-NLT | 509 (51) | 267 (52) | 242 (51) | 180 (61) | 124 (51) | 194 (45) | 140 (53) | 72 (60) | 186 (52) | |||
| Cohabiting/married-LT | 428 (43) | 218 (43) | 210 (44) | 98 (33) | 106 (43) | 211 (49) | 114 (43) | 48 (400 | 155 (43) | |||
| Missing | 6 (1) | 2 (0.4) | 4 (1) | 3 (1) | 3 (1) | 0 | 2 (1) | 0 | 3 (1) | |||
| *Alcohol use | 0.982 | 0.599 | 0.227 | |||||||||
| No | 898 (91) | 463 (91) | 435 (91) | 264 (90) | 218 (89) | 392 (92) | 243 (92) | 114 (94) | 322 (89) | |||
| Yes | 89 (9) | 46 (9) | 43 (9) | 29 (10) | 25 (10) | 35 (8) | 21 (8) | 7 (6) | 38 (11) | |||
| Missing | 2 (0.2) | 1 (0.2) | 1 (0.2) | 1 (0.3) | 1 (0.4) | 0 | 1 (0.4) | 0 | 1 (0.3) | |||
| GA at first ANC (weeks) | 0.109 | 0.455 | ||||||||||
| 1st trimester (≤13) | 229 (23) | 109 (21) | 120 (25) | 64 (22) | 54 (22) | 110 (26) | 74 (28) | 39 (32) | 64 (18) | |||
| 2nd trimester (14–28) | 609 (62) | 314 (62) | 295 (62) | 183 (62) | 160 (66) | 265 (62) | 162 (61) | 73 (60) | 244 (68) | |||
| 3rd trimester (> 28) | 123 (12) | 73 (14) | 50 (10) | 44 (15) | 29 (12) | 49 (11) | 28 (11) | 8 (7) | 51 (14) | |||
| Missing | 28 (3) | 14 (3) | 14 (3) | 3 (1) | 1 (0.4) | 3 (0.7) | 2 (1) | 1 (1) | 3 (1) | |||
| Median (IQR) | 20 (14–25) | 21 (15–26) | 19 (13–24) | 21 (14–26) | 20 (14–23) | 19 (13–24) | 19 (13–24) | 18 (12–22) | 21 (15–25) | |||
| Parity | 0.690 | |||||||||||
| 0 | 251 (25) | 168 (33) | 83 (17) | 106 (36) | 51 (21) | 86 (20) | 57 (22) | 33 (27) | 94 (26) | |||
| 1 | 331 (33) | 169 (33) | 162 (34) | 92 (31) | 89 (36) | 143 (33) | 93 (35) | 40 (33) | 117 (32) | |||
| ≥ 2 | 407 (41) | 173 (34) | 234 (49) | 96 (33) | 104 (43) | 198 (46) | 114 (43) | 48 (40) | 150 (42) | |||
| Median (IQR) | 1 (0–2) | 1 (0–2) | 1 (1–2) | 1 (0–2) | 1 (1–2) | 1 (1–2) | 1 (1–2) | 1 (0–2) | 1 (0–2) | |||
* In current pregnancy. Married-NLT – Married but not living together, Married-LT – married and living together, GA – gestational age, ANC – antenatal care. BMI – body mass index, GWG – gestational weight gain. Missing BMI 23 (2.4%), GWG 240 (24.3%)
Fig. 2Consumption frequencies of selected food items in women living with and without HIV for categories ‘never’ (A), ‘1–3 days’ (B) and ‘4–7 days’ (C) in the past week
Fig. 3Associations between food consumption frequency and overweight/obesity (A) and excessive GWG (B) in women without HIV
Fig. 4Associations between food consumption frequency and overweight/obesity (A) and excessive GWG (B) in women with HIV